Multiple Regression

Question 1

When do we use multiple regression?

Answer 1

Predicting 1 numeric variable based on values of multiple numeric variables

Question 2

Assumptions

Answer 2

Linearity (look at residual plot for curvature), normality (look at histogram for skew, outliers, symmetry), constant variance (residual plot for scatter)

Question 3

Hypotheses

Answer 3

H0: _____, _____, _____ is not linear predictor of ____

Ha: _____, _____, _____ is a linear predictor of _____

Question 4

What values do we report?

Answer 4

Test statistic, p-value

Question 5

Conclusion:

Answer 5

There is/isn’t sufficient evidence of a linear relationship between _____ and _____, _____, ____